Programmable Optoelectronic Multiprocessors And Their Comparison With Symbolic Substitution For Digital Optical Computing

This paper introduces programmable arrays of optically inter-connected electronic processors and compares them with conventional symbolic substitution (SS) systems. The comparison is made on the basis of computational efficiency, speed, size, energy utilization, programmability, and fault tolerance....

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Bibliographic Details
Published in:Optical Engineering 1989-04, Vol.28 (4), p.284396-284396
Main Authors: Kiamilev, F, Esener, Sadik C, Paturi, R, Fainmar, Y, Mercier, P, Guest, C. C, Lee, Sing H
Format: Article
Language:English
Subjects:
426000 - Engineering- Components, Electron Devices & Circuits- (1990-)
990200 - Mathematics & Computers
ARRAY PROCESSORS
COMPUTER ARCHITECTURE
COMPUTERS
DIGITAL COMPUTERS
DIGITAL SYSTEMS
EFFICIENCY
ELECTRO-OPTICAL EFFECTS
ELECTRONIC CIRCUITS
ELECTRONIC EQUIPMENT
ENERGY EFFICIENCY
ENGINEERING
FAULT TOLERANT COMPUTERS
GENERAL AND MISCELLANEOUS//MATHEMATICS, COMPUTING, AND INFORMATION SCIENCE
INTEGRATED CIRCUITS
MICROELECTRONIC CIRCUITS
PARALLEL PROCESSING
PROGRAMMING
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Summary:This paper introduces programmable arrays of optically inter-connected electronic processors and compares them with conventional symbolic substitution (SS) systems. The comparison is made on the basis of computational efficiency, speed, size, energy utilization, programmability, and fault tolerance. The small grain size and space-invariant connections of SS lead to poor computational efficiency, difficult programming, and difficult incorporation of fault tolerance. Reliance on optical gates as its fundamental building elements is shown to give poor energy utilization. Programmable optoelectronic multiprocessor (POEM) systems, on the other hand, provide the architectural flexibility for good computational efficiency, use an energy-efficient combination of technologies, and support traditional programming methodologies and fault tolerance. Although the inherent clock speed of POEM systems is slower than that of SS systems, for most problems they will provide greater computational throughput. This comparison does not take into account the recent addition of crossover interconnect and space-variant masks to the SS architecture.
ISSN:0091-3286
1560-2303
DOI:10.1117/12.7976967